Alcohol and substance use in older adults with treatment-resistant depression.

INTRODUCTION: Alcohol and substance use are increasing in older adults, many of whom have depression, and treatment in this context may be more hazardous. We assessed alcohol and other substance use patterns in older adults with treatment-resistant depression (TRD). We examined patient characteristics associated with higher alcohol consumption and examined the moderating effect of alcohol on the association between clinical variables and falls during antidepressant treatment. METHODS: This secondary and exploratory analysis used baseline clinical data and data on falls during treatment from a large randomized antidepressant trial in older adults with TRD (the OPTIMUM trial). Multivariable ordinal logistic regression was used to identify variables associated with higher alcohol use. An interaction model was used to evaluate the moderating effect of alcohol on falls during treatment. RESULTS: Of 687 participants, 51% acknowledged using alcohol: 10% were hazardous drinkers (AUDIT-10 score ≥5) and 41% were low-risk drinkers (score 1-4). Benzodiazepine use was seen in 24% of all participants and in 21% of drinkers. Use of other substances (mostly cannabis) was associated with alcohol consumption: it was seen in 5%, 9%, and 15% of abstainers, low-risk drinkers, and hazardous drinkers, respectively. Unexpectedly, use of other substances predicted increased risk of falls during antidepressant treatment only in abstainers. CONCLUSIONS: One-half of older adults with TRD in this study acknowledged using alcohol. Use of alcohol concurrent with benzodiazepine and other substances was common. Risks-such as falls-of using alcohol and other substances during antidepressant treatment needs further study.

Novel medications for problematic alcohol use.

Alcohol-related harm, a major cause of disease burden globally, affects people along a spectrum of use. When a harmful pattern of drinking is present in the absence of significant behavioral pathology, low-intensity brief interventions that provide information about health consequences of continued use provide large health benefits. At the other end of the spectrum, profound behavioral pathology, including continued use despite knowledge of potentially fatal consequences, warrants a medical diagnosis, and treatment is strongly indicated. Available behavioral and pharmacological treatments are supported by scientific evidence but are vastly underutilized. Discovery of additional medications, with a favorable balance of efficacy versus safety and tolerability can improve clinical uptake of treatment, allow personalized treatment, and improve outcomes. Here, we delineate the clinical conditions when pharmacotherapy should be considered in relation to the main diagnostic systems in use and discuss clinical endpoints that represent meaningful clinical benefits. We then review specific developments in three categories of targets that show promise for expanding the treatment toolkit. GPCRs remain the largest category of successful drug targets across contemporary medicine, and several GPCR targets are currently pursued for alcohol-related indications. Endocrine systems are another established category, and several promising targets have emerged for alcohol indications. Finally, immune modulators have revolutionized treatment of multiple medical conditions, and they may also hold potential to produce benefits in patients with alcohol problems.

Extracting patient lifestyle characteristics from Dutch clinical text with BERT models.

BACKGROUND: BERT models have seen widespread use on unstructured text within the clinical domain. However, little to no research has been conducted into classifying unstructured clinical notes on the basis of patient lifestyle indicators, especially in Dutch. This article aims to test the feasibility of deep BERT models on the task of patient lifestyle classification, as well as introducing an experimental framework that is easily reproducible in future research. METHODS: This study makes use of unstructured general patient text data from HagaZiekenhuis, a large hospital in The Netherlands. Over 148 000 notes were provided to us, which were each automatically labelled on the basis of the respective patients' smoking, alcohol usage and drug usage statuses. In this paper we test feasibility of automatically assigning labels, and justify it using hand-labelled input. Ultimately, we compare macro F1-scores of string matching, SGD and several BERT models on the task of classifying smoking, alcohol and drug usage. We test Dutch BERT models and English models with translated input. RESULTS: We find that our further pre-trained MedRoBERTa.nl-HAGA model outperformed every other model on smoking (0.93) and drug usage (0.77). Interestingly, our ClinicalBERT model that was merely fine-tuned on translated text performed best on the alcohol task (0.80). In t-SNE visualisations, we show our MedRoBERTa.nl-HAGA model is the best model to differentiate between classes in the embedding space, explaining its superior classification performance. CONCLUSIONS: We suggest MedRoBERTa.nl-HAGA to be used as a baseline in future research on Dutch free text patient lifestyle classification. We furthermore strongly suggest further exploring the application of translation to input text in non-English clinical BERT research, as we only translated a subset of the full set and yet achieved very promising results.

Effect of an Online Intervention on Nursing Students' Alcohol Consumption and Social Support.

OBJECTIVE: This research aimed to evaluate the impact of custom-developed software on nursing students' alcohol consumption and perception of social support. METHOD: A quasi-experimental study was conducted with 88 students in the early years of nursing courses at a Brazilian public university. The members of the intervention group (n = 40) participated in a lecture delivered by a nurse and used online software developed based on cognitive behavioral techniques and social skills training. The members of the control group (n = 48) participated only in the lecture. Data on alcohol consumption profiles and social support characteristics were collected. Descriptive statistics, an analysis of variance test, and the Dunnett's test were utilized for data analysis. RESULTS: Alcohol consumption decreased in both groups without significant differences between them. However, in terms of frequency of use, binge drinking, and the number of drinks consumed, a significant decrease occurred among participants in the intervention group. Regarding social support, both groups showed an increase in satisfaction with support and a decrease in the number of supporters. This reduction was less pronounced in the intervention group than in the control group. CONCLUSION: This investigation presents relevant results that suggest the potential of using online technologies as supplemental materials for promoting students' mental health.

Impact of metabolic phenotype and alcohol consumption on mortality risk in metabolic dysfunction-associated fatty liver disease: a population-based cohort study.

Patients with metabolic dysfunction-associated fatty liver disease (MAFLD) often present with concomitant metabolic dysregulation and alcohol consumption, potentially leading to distinct clinical outcomes. We analyzed data from 8043 participants with MAFLD in the Thai National Health Examination Survey with linked mortality records. According to the MAFLD criteria, 1432 individuals (17.2%) were categorized as having the diabetes phenotype, 5894 (71.0%) as the overweight/obesity phenotype, and 978 (11.8%) as the lean metabolic phenotype. Over 71,145 person-years, 916 participants died. Using Cox proportional hazard models adjusting for physiological, lifestyle, and comorbid factors, both diabetes (adjusted hazards ratio [aHR] 1.59, 95% CI 1.18-2.13) and lean metabolic phenotypes (aHR 1.28, 95% CI 1.01-1.64) exhibited significantly higher mortality risk compared to the overweight/obesity phenotype. A J-shaped relationship was observed between daily alcohol consumption and the risk of all-cause mortality. Daily alcohol intake exceeding 50 g for women and 60 g for men increased the all-cause mortality risk among MAFLD individuals with the lean metabolic phenotype (aHR 3.39, 95% CI 1.02-11.29). Our study found that metabolic phenotype and alcohol consumption have interactive effects on the risk of all-cause mortality in patients with MAFLD, indicating that evaluating both factors is crucial for determining prognostic outcomes and management strategies.

Increased alcohol intake is associated with radiographic severity of knee and hand osteoarthritis in men.

Observational studies have shown controversial associations between alcohol intake and radiographic osteoarthritis (OA). This study investigated whether this association was causal using a Mendelian randomization (MR) study in a population-based cohort in Korean. The study enrolled 2429 subjects (1058 men, 1371 women) from the Dong-gu Study. X-rays of the hand and knee joints were scored using a semi-quantitative grading system to calculate the total score of the hand and knee joints. ALDH2 rs671 genotyping was performed by high-resolution melting analysis. MR instrumental variable analysis and observational multivariable regression analysis were used to estimate the association between genetically predicted alcohol intake and the radiographic severity of OA. Subjects with the G/G genotype had a higher current alcohol intake than those with the G/A and A/A genotypes in both men and women (all P < 0.001). Men with the G/G genotype had higher total knee (P < 0.001) and hand scores (P = 0.042) compared to those with the G/A and A/A genotypes after adjusting for age and body mass index, but not in women. In the observational multivariable regression analysis, each alcohol drink per day in men was associated with increased knee (P = 0.001) and hand joint scores (P = 0.013) after adjustment, but not in women. In our MR analysis, utilizing ALDH2 rs671 genotypes as instrumental variables for alcohol consumption, has shown a significant link between each additional daily alcohol drink and increased radiographic joint severity in men.

High Blood Pressure and Its Associated Factors Among Aksum University Students, Northern Ethiopia, 2019: A Cross-Sectional Study.

Objectives: This study aimed to assess the burden of high blood pressure and its associated factors among students at Aksum University. Methods: A total of 240 participants were included; participants were selected through simple random sampling from May 2019 to July 2019. Logistic regression analysis was performed, with statistical significance set at a p-value <0.05 and a 95% confidence level. Results: This study found that 17.9% of the participants had high blood pressure, with higher rates observed in males (62.79%) than in females (37.21%). Several factors were identified as associated with high blood pressure, including a family history of high blood pressure [AOR 1.72, 95% CI (1. 75-4.04)], regular physical exercise [AOR 0.64, 95% CI (0.30-0.94)], alcohol consumption [AOR 2.16, 95% CI (1.07-4.62)], tobacco smoking [AOR 5.46, 95% CI (1.98-15.07)], and central obesity [AOR 2.72, 95% CI (1.12-6.58)]. Conclusion: This study reveals that one out of six students had high blood pressure. Factors such as a family history of high blood pressure, physical inactivity, tobacco smoking, and central obesity were associated with this condition.

Cardiovascular risk among community members in three communities in the Cape Metropole of the Western Cape.

BACKGROUND:  Cardiovascular diseases pose a risk to population health in South Africa and are responsible for almost one in six deaths (17.3%). AIM:  To determine the cardiovascular risk among community members who attended a community outreach programme. SETTING:  Three communities in the Cape Metropole of the Western Cape. METHODS:  A health survey was conducted with 783 participants, 18 years and older, conveniently sampled. The survey included questions about cardiovascular risk factors, and biometric measurements of blood pressure (BP), height and weight were conducted. RESULTS:  A total of 777 participants were included in the study. Most participants were female (529, 68.1%), with an average age of 42.3 years (s.d. 14.2). Risk behaviours reported included smoking (216, 27.8%), consuming more than two drinks of alcohol daily (78, 10%), low physical activity (384, 49.4%), being stressed on most days (436, 56.1%) and unhealthy eating habits (253, 32.6%). More than half of the participants (402, 51.7%) had a body mass index (BMI) ≥ 30, 26.0% (202) had a systolic BP of ≥ 140 mm Hg and 22.4% (174) had a diastolic BP of ≥ 90 mm Hg; 16.6% (130) had a cardiovascular disease (CVD) risk of 10-20 and 19.3% (150) had a CVD risk of 20%. CONCLUSION:  Nearly a fifth of the participants had a significant probability of developing heart disease or experiencing a stroke over the next 10 years.Contribution: There is an urgent need for comprehensive health promotion and behaviour change interventions focused on reducing CVD risk factors at the community level.

Addressing causal relationship between drinking behavior and metabolic syndrome: one-sample Mendelian randomization analysis.

AIMS: Alcohol drinking is associated with central obesity, hypertension, and hyperlipidemia, which further causes metabolic syndrome (MetS). However, prior epidemiological studies on such associations lack experimental evidence for a causal relationship. This study aims to explore the causal relationship between drinking behavior and MetS in Taiwan population by using Mendelian randomization (MR) analysis. METHODS: A cross-sectional study was conducted using the Taiwan Biobank database, which comprised 50 640 Han Chinese who were 30-70 years old without cancer from 2008 to 2020. In MR analysis, we constructed weighted and unweighted genetic risk scores by calculating SNP alleles significantly associated with alcohol drinking. We calculated odds ratios and 95% confidence interval (CI) by using a two-stage regression model. RESULTS: A total of 50 640 participants were included with a mean age of 49.5 years (SD: 1.67 years), 36.6% were men. The adjusted odds ratio (aOR) of MetS per 5% increase in the likelihood of genetic predisposition to drink based on weighted genetic risk score with adjustment was 1.11 (95% CI: 1.10, 1.12, P < .001). Analysis was also conducted by grouping the likelihood of genetic predisposition to drink based on quartiles with multivariate adjustment. Using Q1 as the reference group, the aORs of MetS for Q2, Q3, and Q4 were 1.19 (1.12, 1.27, p < .001), 1.31 (1.23, 1.40, p < .001), and 1.87 (1.75, 2.00, p < .001), respectively, for the weighted genetic risk score. CONCLUSIONS: This study shows a modest relationship between drinking behavior and MetS by using MR analysis.

Educational inequalities and alcohol-related consequences in Brazil.

AIMS: This study aimed to test whether the alcohol harm paradox (AHP) is observed in Brazil by investigating (i) the association between educational attainment and alcohol-related consequences (ARC) and (ii) the contribution of average alcohol volume consumed (AVC), past-month heavy episodic drinking (HED), smoking, body mass index (BMI), and depression in accounting for the disparities in ARC. METHODS: We analysed data from the 2019 Brazilian National Health Survey, a nationally representative household survey. The composite ARC outcome was considered present when an individual reported a past-year episode of activity failure, amnesia, and concern by others due to alcohol consumption. Adjusted binary logistic regression models were fitted using a hierarchical approach to calculate the odds ratios (OR) and respective 95% confidence intervals (CI), and to assess the contribution of each set of variables in attenuating the educational differences in ARC. RESULTS: Those from the lowest educational strata (incomplete elementary school) exhibited higher odds of ARC than their counterparts (OR: 2.03; 95% CI: 1.73-2.37). Although smoking, BMI, and depression attenuated the educational gradient (i.e. reduced the difference between reference and riskier categories) in ARC by ~13%, the adjustment for AVC and HED amplified inequalities by 0.3% and 5.7%, respectively. CONCLUSION: We found evidence of the AHP in Brazil. Educational inequalities in ARC were scarcely attenuated by behavioural factors, and a suppression effect was noted when adjusting for AVC and HED.

Consumption of in natura and ultra-processed foods in adults: an analysis of social, metabolic, and lifestyle determinants.

OBJECTIVE: To assess the social, metabolic, and lifestyle determinants of consumption of fruits, vegetables, and greens (FVG) and ultra-processed food (ULT) in adults from Pernambuco. METHODS: Cross-sectional and analytical study, conducted in 2015/2016. In addition to sociodemographic variables, the determinants of lifestyle were level of physical activity, alcohol consumption, tobacco use, and metabolic variables were self-reported hypertension, blood glucose, and Body Mass Index (BMI). Consumption was measured by the Food Frequency Questionnaire, then created the Frequency of Consumption Index (SFI) of the mean intake of ULT and FVG foods. The indices of FVG and ULT consumption were transformed into quartiles and these variables were included in the multinomial logistic regression, considering their determinants when p<0.05. RESULTS: The sample was representative of the state, with 1,067 people being interviewed, whose intake of ULT was higher than that of FVG in the lowest and highest quartile of the consumption index. Consumption of fruit and vegetables was higher in higher consumption of alcoholic beverages (p=0.031) and BMI>25 kg/m2 (p=0.047); and lower in the lowest income (p=0.001). ULT intake was higher in young adults (p=0.005), lower income (p=0.044), and controlled blood glucose (p=0.021). Rural areas were 52% less exposed to medium-high ULT consumption (p<0.006). CONCLUSION: Higher rate of ULT consumption in relation to fresh foods, with income as a common determinant, inversely associated with ULT intake and directly related to FVG, which demands structuring policies.

The association between alcohol consumption and pulmonary function: a scoping review.

INTRODUCTION: The health effects of alcohol are well established but the influence on pulmonary function remains debated. Studies indicate that small amounts of alcohol are beneficial and heavy consumption is harmful, suggesting a U-shaped association. Our objective is to determine whether there is an association between alcohol intake and changes in pulmonary function parameters, exploring the potential protective effect of moderate alcohol consumption and the harm caused by heavy drinking. METHODS: A comprehensive search from PubMed, Embase, Cochrane and CINAHL was carried out, and studies were evaluated using the JBI methodological framework for scoping reviews. Two independent reviewers conducted parallel screening and data extraction. A data extraction form was utilised to organise key themes, with qualitative analysis and visual representation of the results. RESULTS: Among 4427 screened abstracts, 179 underwent full-text review, resulting in 30 eligible studies. Of these, 10 showed a negative effect, nine reported no impact, nine exhibited a positive effect and two indicated a nonlinear U-shaped association between alcohol consumption and pulmonary function parameters. CONCLUSION: While the U-shaped curve hypothesis remains unconfirmed by the current literature, there are notable associations. Heavy alcohol consumption appears to negatively affect pulmonary function, while low to moderate intake shows a positive influence in included studies. However, the diversity in study quality, the nonstandardised alcohol intake quantification and the confounding role of smoking challenge definitive conclusions. The need for consistent, long-term international studies is evident to further explore this relationship while addressing the complex interplay between alcohol and smoking.

Decomposing difference in the kidney cancer burden measures between 1990 and 2019 based on the global burden of disease study.

The kidney cancer (KC) burden measures have changed dramatically in recent years due to changes in exposure to the determinants over time. We aimed to decompose the difference in the KC burden measures between 1990 and 2019. This ecological study included data on the KC burden measures as well as socio-demographic index (SDI), behavioral, dietary, and metabolic risk factors from the global burden of disease study. Non-linear multivariate decomposition analysis was applied to decompose the difference in the burden of KC. Globally, ASIR, ASMR, and ASDR of KC increased from 2.88 to 4.37, from 1.70 to 2.16, and from 46.13 to 54.96 per 100,000 people between 1990 and 2019, respectively. The global burden of KC was more concentrated in developed countries. From 1990 to 2019, the burden of KC has increased the most in Eastern European countries. More than 70% of the difference in the KC burden measures between 1990 and 2019 was due to changes in exposure to the risk factors over time. The SDI, high body mass index (BMI), and alcohol use had the greatest contribution to the difference in the KC burden measures. Changes in characteristics over time, including SDI, high BMI, and alcohol consumption, appear to be important in the evolving landscape of KC worldwide. This finding may help policymakers design policies and implement prevention programs to control and manage KC.

Maternal smoking, consumption of alcohol, and caffeinated beverages during pregnancy and the risk of childhood brain tumors: a meta-analysis of observational studies.

BACKGROUND: We conducted this meta-analysis to investigate the potential association between maternal smoking, alcohol and caffeinated beverages consumption during pregnancy and the risk of childhood brain tumors (CBTs). METHODS: A thorough search was carried out on PubMed, Embase, Web of Science, Cochrane Library, and China National Knowledge Internet to identify pertinent articles. Fixed or random effects model was applied to meta-analyze the data. RESULTS: The results suggested a borderline statistically significant increased risk of CBTs associated with maternal smoking during pregnancy (OR 1.04, 95% CI 0.99-1.09). We found that passive smoking (OR 1.12, 95% CI 1.03-1.20), rather than active smoking (OR 1.00, 95% CI 0.93-1.07), led to an increased risk of CBTs. The results suggested a higher risk in 0-1 year old children (OR 1.21, 95% CI 0.94-1.56), followed by 0-4 years old children (OR 1.12, 95% CI 0.97-1.28) and 5-9 years old children (OR 1.11, 95% CI 0.95-1.29). This meta-analysis found no significant association between maternal alcohol consumption during pregnancy and CBTs risk (OR 1.00, 95% CI 0.80-1.24). An increased risk of CBTs was found to be associated with maternal consumption of caffeinated beverages (OR 1.16, 95% CI 1.07-1.26) during pregnancy, especially coffee (OR 1.18, 95% CI 1.00-1.38). CONCLUSIONS: Maternal passive smoking, consumption of caffeinated beverages during pregnancy should be considered as risk factors for CBTs, especially glioma. More prospective cohort studies are warranted to provide a higher level of evidence.

Independent and combined effects of smoking, drinking and depression on periodontal disease.

BACKGROUND: Periodontitis is a complex chronic inflammatory disease that is particularly associated with health-related conditions such as smoking, excessive drinking and depression. This research aimed to investigate the interaction between these lifestyles factors on periodontitis risk. METHODS: This study included participants who participated in the National Health and Nutrition Examination Survey in the United States between 2009 and 2014. They had completed oral health-periodontal examination, Smoking-Cigarette Use Questionnaire, Alcohol Use Questionnaire, and Patient Health Questionnaire. Periodontal clinical attachment loss (CAL) of 3 mm or more and Patient Health Questionnaire-9 (PHQ-9) of 10 scores or more were used to identify periodontitis and depression, respectively. Daily alcohol consumption in the past year was classified into three levels: low (1 drink or less), moderate (between 1 and 3 drinks), and heavy drinking (4 drinks or more), while smoking was defined as having smoked at least 100 cigarettes in one's lifetime. Then, the logistic regression combined with interaction models were used to analyze the independent and combined effects of smoking, drinking and depression on periodontitis risk. RESULTS: The results indicated a statistically significant multiplicative interaction between smoking and depression in relation to the development of periodontitis, both in the overall population (P = 0.03) and among male participants (P = 0.03). Furthermore, among individuals experiencing depression, smoking was found to significantly increase the prevalence of periodontitis by 129% in the younger age group compared to non-smokers (odds ratio [OR]: 2.29; 95% confidence interval [CI]: 1.10 to 4.76). However, the interaction between smoking and alcohol consumption was only significant among females (P < 0.05). There was a dose-dependent relationship between drinking frequency and smoking on periodontitis prevalence. In the smoking population, occasional drinking (OR: 1.70; 95% CI: 1.22 to 2.37) and regular drinking (OR: 2.28; 95% CI: 1.68 to 3.11) significantly increased the prevalence of periodontitis compared to individuals without these two factors. CONCLUSION: These results suggested that there were interactive effects between smoking, drinking and depression on periodontitis risk and policies aimed at healthy behaviours and mental health may be beneficial for our oral health.

Long-term effects of alcohol consumption on anxiety in adults: A systematic review.

OBJECTIVE: Despite the high prevalence and comorbidity of alcohol consumption and anxiety, it is unclear whether alcohol consumption influences long-term anxiety. This study aimed to systematically review the literature on the long-term longitudinal effects of alcohol consumption on anxiety in adults. METHODS: EMBASE, PsychInfo, Medline, and Web of Science databases were systematically searched from inception to April 12th, 2024. Articles analysing the relationship between alcohol consumption and anxiety symptoms or anxiety disorder diagnosis at least three-months later in adults were eligible. Articles were screened and extracted by two independent reviewers with study quality assessed using the Mixed Methods Appraisal Tool. RESULTS: From 884 records, eight studies of mixed quality met inclusion criteria. One study using a sample representative of the USA population found low volume consumption was associated with lower long-term anxiety. All other studies used a convenience sample or a specific medical population sample. The significance and direction of the relationship between alcohol consumption and long-term anxiety in these studies varied, likely due to differences in alcohol consumption thresholds used and populations studied. CONCLUSIONS: A paucity of research on the longitudinal effects of alcohol consumption on anxiety was found, highlighting a significant gap in the research literature. Furthermore, existing research, primarily focussed on clinical subpopulations, has yielded mixed results. Further research is needed to explore the longitudinal dose dependent impact of alcohol consumption on anxiety using samples representative of national populations.